How to connect LiveChat and Bland AI
Create a New Scenario to Connect LiveChat and Bland AI
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a LiveChat, triggered by another scenario, or executed manually (for testing purposes). In most cases, LiveChat or Bland AI will be your first step. To do this, click "Choose an app," find LiveChat or Bland AI, and select the appropriate trigger to start the scenario.

Add the LiveChat Node
Select the LiveChat node from the app selection panel on the right.

LiveChat
Configure the LiveChat
Click on the LiveChat node to configure it. You can modify the LiveChat URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Bland AI Node
Next, click the plus (+) icon on the LiveChat node, select Bland AI from the list of available apps, and choose the action you need from the list of nodes within Bland AI.

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Authenticate Bland AI
Now, click the Bland AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Bland AI settings. Authentication allows you to use Bland AI through Latenode.
Configure the LiveChat and Bland AI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the LiveChat and Bland AI Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that donโt require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring LiveChat, Bland AI, and any additional nodes, donโt forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking โRun onceโ and triggering an event to check if the LiveChat and Bland AI integration works as expected. Depending on your setup, data should flow between LiveChat and Bland AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect LiveChat and Bland AI
LiveChat + Bland AI + Slack: When a chat is deactivated in LiveChat, Bland AI analyzes the chat transcript to summarize the customer query. This summary is then sent to a dedicated Slack channel for quick review and follow-up.
LiveChat + Bland AI + Google Sheets: When a chat is deactivated in LiveChat, Bland AI analyzes the chat transcript to determine customer sentiment. The sentiment score is then logged in a Google Sheet for performance tracking and analysis.
LiveChat and Bland AI integration alternatives
About LiveChat
Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context โ all visually, and without code.
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About Bland AI
Use Bland AI in Latenode to automate content creation or rewrite existing text. Streamline your marketing or support workflows by generating tailored responses. Integrate it directly into your Latenode scenarios and use visual tools to manage prompts, route results, and scale AI tasks without complex coding.
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See how Latenode works
FAQ LiveChat and Bland AI
How can I connect my LiveChat account to Bland AI using Latenode?
To connect your LiveChat account to Bland AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LiveChat and click on "Connect".
- Authenticate your LiveChat and Bland AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze chat sentiment using LiveChat and Bland AI?
Yes, you can! Latenode's visual editor makes it easy to send LiveChat transcripts to Bland AI for instant sentiment analysis, improving customer support efficiency.
What types of tasks can I perform by integrating LiveChat with Bland AI?
Integrating LiveChat with Bland AI allows you to perform various tasks, including:
- Automatically tagging chats based on intent detected by Bland AI.
- Summarizing LiveChat conversations using Bland AI after they conclude.
- Routing chats to specific agents based on Bland AI's topic analysis.
- Creating knowledge base articles from common questions in LiveChat via Bland AI.
- Monitoring chat quality by analyzing agent responses with Bland AI.
How can I use LiveChat data to train Bland AI models on Latenode?
Latenode lets you extract LiveChat data & feed it to Bland AI for model training, improving accuracy using real-world conversations.
Are there any limitations to the LiveChat and Bland AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Bland AI's API usage is subject to their rate limits, potentially affecting high-volume workflows.
- Historical LiveChat data import might require custom scripting for large datasets.
- Real-time sentiment analysis accuracy depends on the quality of Bland AI's models.